The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-09"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4024009 (up from 3938064 yesterday: 2.18 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "279311 (up from 274898 yesterday: 1.61 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.94



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1309550 25621 2.00 78795 1615 2.09 6.02
Spain 223578 721 0.32 26478 179 0.68 11.84
Italy 218268 1083 0.50 30395 194 0.64 13.93
United Kingdom 216525 3896 1.83 31662 346 1.10 14.62
Russia 198676 10817 5.76 1827 104 6.04 0.92
France 176782 580 0.33 26313 80 0.30 14.88
Germany 171324 736 0.43 7549 39 0.52 4.41
Brazil 156061 9167 6.24 10656 639 6.38 6.83
Turkey 137115 1546 1.14 3739 50 1.36 2.73
Iran 106220 1529 1.46 6589 48 0.73 6.20
China 83990 14 0.02 4637 0 0.00 5.52
Canada 68918 1244 1.84 4823 126 2.68 7.00
Peru 65015 3168 5.12 1814 100 5.83 2.79
India 62808 3113 5.21 2101 116 5.84 3.35
Belgium 52596 585 1.12 8581 60 0.70 16.31
Netherlands 42581 289 0.68 5441 64 1.19 12.78
Saudi Arabia 37136 1704 4.81 239 10 4.37 0.64
Mexico 33460 1938 6.15 3353 193 6.11 10.02
Switzerland 30251 44 0.15 1830 7 0.38 6.05
Ecuador 29071 253 0.88 1717 13 0.76 5.91
Pakistan 28736 2301 8.70 636 37 6.18 2.21
Portugal 27406 138 0.51 1126 12 1.08 4.11
Chile 27219 1247 4.80 304 10 3.40 1.12
Sweden 25921 656 2.60 3220 45 1.42 12.42
Ireland 22760 219 0.97 1446 17 1.19 6.35
Singapore 22460 753 3.47 20 0 0.00 0.09
Belarus 22052 951 4.51 126 5 4.13 0.57
Qatar 21331 1130 5.59 13 1 8.33 0.06
United Arab Emirates 17417 624 3.72 185 11 6.32 1.06
Israel 16454 18 0.11 247 2 0.82 1.50
Austria 15833 59 0.37 615 1 0.16 3.88
Japan 15663 88 0.57 607 17 2.88 3.88
Poland 15651 285 1.85 785 9 1.16 5.02
Romania 15131 320 2.16 939 16 1.73 6.21
Ukraine 14710 515 3.63 376 15 4.16 2.56
Bangladesh 13770 636 4.84 214 8 3.88 1.55
Indonesia 13645 533 4.06 959 16 1.70 7.03
Korea, South 10874 34 0.31 256 0 0.00 2.35
Philippines 10610 147 1.40 704 8 1.15 6.64
Denmark 10517 101 0.97 526 4 0.77 5.00
Colombia 10495 444 4.42 445 17 3.97 4.24
Serbia 10032 89 0.90 215 6 2.87 2.14
Dominican Republic 9882 506 5.40 385 5 1.32 3.90
South Africa 9420 525 5.90 186 8 4.49 1.97
Egypt 8964 488 5.76 514 11 2.19 5.73
Panama 8282 212 2.63 237 6 2.60 2.86
Norway 8099 29 0.36 219 1 0.46 2.70
Czechia 8095 18 0.22 276 3 1.10 3.41
Kuwait 7623 415 5.76 49 2 4.26 0.64
Australia 6939 21 0.30 97 0 0.00 1.40
Malaysia 6589 54 0.83 108 1 0.93 1.64
Morocco 5910 199 3.48 186 0 0.00 3.15
Finland 5880 142 2.47 265 5 1.92 4.51
Argentina 5776 165 2.94 300 7 2.39 5.19
Algeria 5558 189 3.52 494 6 1.23 8.89
Kazakhstan 4975 141 2.92 31 0 0.00 0.62
Moldova 4867 139 2.94 161 11 7.33 3.31
Bahrain 4774 330 7.43 8 0 0.00 0.17
Ghana 4263 251 6.26 22 4 22.22 0.52
Nigeria 4151 239 6.11 128 11 9.40 3.08
Afghanistan 4033 255 6.75 115 6 5.50 2.85
Luxembourg 3877 6 0.15 101 1 1.00 2.61
Oman 3224 112 3.60 17 1 6.25 0.53
Hungary 3213 35 1.10 405 13 3.32 12.61
Armenia 3175 146 4.82 44 1 2.33 1.39
Thailand 3004 4 0.13 56 1 1.82 1.86
Greece 2710 19 0.71 151 1 0.67 5.57
Iraq 2679 76 2.92 107 3 2.88 3.99
Bolivia 2437 171 7.55 114 8 7.55 4.68
Azerbaijan 2422 143 6.27 31 3 10.71 1.28
Uzbekistan 2349 24 1.03 10 0 0.00 0.43
Cameroon 2274 7 0.31 108 0 0.00 4.75
Croatia 2176 15 0.69 87 1 1.16 4.00
Bosnia and Herzegovina 2090 20 0.97 102 4 4.08 4.88
Guinea 2042 33 1.64 11 0 0.00 0.54
Bulgaria 1921 49 2.62 90 4 4.65 4.69
Honduras 1830 59 3.33 108 1 0.93 5.90
Iceland 1801 0 0.00 10 0 0.00 0.56
Cuba 1754 13 0.75 74 0 0.00 4.22
Estonia 1733 8 0.46 60 4 7.14 3.46
Cote d’Ivoire 1667 65 4.06 21 1 5.00 1.26
Senegal 1634 83 5.35 17 4 30.77 1.04
North Macedonia 1622 36 2.27 91 1 1.11 5.61
New Zealand 1494 2 0.13 21 0 0.00 1.41
Slovakia 1455 0 0.00 26 0 0.00 1.79
Slovenia 1454 4 0.28 101 1 1.00 6.95
Lithuania 1444 8 0.56 49 0 0.00 3.39
Djibouti 1189 54 4.76 3 0 0.00 0.25
Sudan 1164 53 4.77 64 5 8.47 5.50
Tunisia 1032 2 0.19 45 0 0.00 4.36

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 333122 2715 0.82 26612 369 1.41 7.99 17123.96 1367.98 1 in 58
New Jersey 137397 1557 1.15 9116 156 1.74 6.63 15468.82 1026.32 1 in 65
Massachusetts 76743 1410 1.87 4840 138 2.93 6.31 11042.95 696.45 1 in 91
Illinois 76085 2325 3.15 3349 108 3.33 4.40 6004.27 264.29 1 in 167
California 66558 2779 4.36 2687 74 2.83 4.04 1684.49 68.00 1 in 594
Pennsylvania 58560 1189 2.07 3779 64 1.72 6.45 4574.29 295.19 1 in 219
Michigan 46815 429 0.92 4530 131 2.98 9.68 4687.66 453.60 1 in 213
Florida 40001 802 2.05 1715 46 2.76 4.29 1862.44 79.85 1 in 537
Texas 38394 1148 3.08 1066 41 4.00 2.78 1324.12 36.76 1 in 755
Connecticut 32984 573 1.77 2932 58 2.02 8.89 9251.43 822.37 1 in 108
Georgia 32588 407 1.26 1403 3 0.21 4.31 3069.29 132.14 1 in 326
Maryland 31534 1049 3.44 1614 54 3.46 5.12 5215.96 266.97 1 in 192
Louisiana 31417 562 1.82 2267 40 1.80 7.22 6758.10 487.65 1 in 148
Indiana 23732 586 2.53 1490 43 2.97 6.28 3525.14 221.32 1 in 284
Ohio 23697 681 2.96 1331 25 1.91 5.62 2027.27 113.87 1 in 493
Virginia 23196 854 3.82 827 15 1.85 3.57 2717.59 96.89 1 in 368
Colorado 19375 548 2.91 967 7 0.73 4.99 3364.45 167.92 1 in 297
Washington 16674 286 1.75 921 16 1.77 5.52 2189.66 120.95 1 in 457
Tennessee 14768 327 2.26 242 0 0.00 1.64 2161.22 35.42 1 in 463
North Carolina 14478 472 3.37 551 21 3.96 3.81 1380.42 52.54 1 in 724
Iowa 11671 214 1.87 252 9 3.70 2.16 3699.13 79.87 1 in 270
Rhode Island 10989 210 1.95 418 19 4.76 3.80 10373.23 394.58 1 in 96
Arizona 10960 434 4.12 532 15 2.90 4.85 1439.28 69.86 1 in 695
Minnesota 10790 702 6.96 558 24 4.49 5.17 1913.25 98.94 1 in 523
Wisconsin 9939 349 3.64 398 14 3.65 4.00 1707.02 68.36 1 in 586
Missouri 9911 178 1.83 494 11 2.28 4.98 1614.85 80.49 1 in 619
Alabama 9668 283 3.02 390 7 1.83 4.03 1971.78 79.54 1 in 507
Mississippi 9378 288 3.17 421 12 2.93 4.49 3151.05 141.46 1 in 317
Nebraska 8093 275 3.52 90 0 0.00 1.11 4183.71 46.53 1 in 239
South Carolina 7531 164 2.23 330 10 3.12 4.38 1462.70 64.09 1 in 684
Kansas 6829 162 2.43 174 6 3.57 2.55 2344.07 59.73 1 in 427
Kentucky 6440 152 2.42 304 6 2.01 4.72 1441.47 68.04 1 in 694
Delaware 6277 166 2.72 221 8 3.76 3.52 6446.12 226.95 1 in 155
Nevada 6171 251 4.24 313 19 6.46 5.07 2003.47 101.62 1 in 499
Utah 6103 184 3.11 66 5 8.20 1.08 1903.64 20.59 1 in 525
District of Columbia 6102 203 3.44 311 7 2.30 5.10 8646.13 440.67 1 in 116
New Mexico 4778 105 2.25 191 10 5.52 4.00 2278.68 91.09 1 in 439
Oklahoma 4490 66 1.49 270 4 1.50 6.01 1134.71 68.23 1 in 881
Arkansas 3747 0 0.00 88 0 0.00 2.35 1241.62 29.16 1 in 805
South Dakota 3393 248 7.89 34 3 9.68 1.00 3835.38 38.43 1 in 261
Oregon 3160 92 3.00 127 3 2.42 4.02 749.22 30.11 1 in 1335
New Hampshire 3011 64 2.17 131 10 8.26 4.35 2214.44 96.34 1 in 452
Idaho 2205 27 1.24 67 0 0.00 3.04 1230.42 37.39 1 in 813
Puerto Rico 2173 17 0.79 108 1 0.93 4.97 680.40 33.82 1 in 1470
North Dakota 1464 39 2.74 35 2 6.06 2.39 1921.10 45.93 1 in 521
Maine 1408 34 2.47 64 1 1.59 4.55 1047.45 47.61 1 in 955
West Virginia 1323 0 0.00 52 0 0.00 3.93 740.29 29.10 1 in 1351
Vermont 921 2 0.22 53 0 0.00 5.75 1475.99 84.94 1 in 678
Wyoming 653 9 1.40 7 0 0.00 1.07 1128.28 12.09 1 in 886
Hawaii 631 2 0.32 17 0 0.00 2.69 445.66 12.01 1 in 2244
Montana 458 0 0.00 16 0 0.00 3.49 428.53 14.97 1 in 2334
Alaska 378 1 0.27 10 0 0.00 2.65 516.71 13.67 1 in 1935

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1153768 333122 28.87 59308.83
New Jersey 305206 137397 45.02 34361.57
Massachusetts 376537 76743 20.38 54181.86
Illinois 416331 76085 18.28 32854.87
California 912570 66558 7.29 23095.89
Pennsylvania 277107 58560 21.13 21645.62
Michigan 273486 46815 17.12 27384.59
Florida 527731 40001 7.58 24571.07
Texas 489294 38394 7.85 16874.60
Connecticut 123569 32984 26.69 34658.92
Georgia 235324 32588 13.85 22163.95
Maryland 156028 31534 20.21 25808.18
Louisiana 212157 31417 14.81 45637.00
Indiana 135686 23732 17.49 20154.72
Ohio 196670 23697 12.05 16825.08
Virginia 137149 23196 16.91 16068.03
Colorado 96772 19375 20.02 16804.38
Washington 235835 16674 7.07 30970.23
Tennessee 252748 14768 5.84 36988.37
North Carolina 186362 14478 7.77 17768.93
Iowa 71476 11671 16.33 22654.33
Rhode Island 87815 10989 12.51 82894.31
Arizona 128940 10960 8.50 16932.61
Minnesota 106263 10790 10.15 18842.19
Wisconsin 111874 9939 8.88 19214.30
Missouri 108898 9911 9.10 17743.26
Alabama 125494 9668 7.70 25594.38
Mississippi 81479 9378 11.51 27377.33
Nebraska 42976 8093 18.83 22216.62
South Carolina 80963 7531 9.30 15724.90
Kansas 49933 6829 13.68 17139.59
Kentucky 86447 6440 7.45 19349.45
Delaware 29296 6277 21.43 30085.32
Nevada 56111 6171 11.00 18216.93
Utah 143294 6103 4.26 44696.16
District of Columbia 28183 6102 21.65 39933.46
New Mexico 93262 4778 5.12 44477.64
Oklahoma 95869 4490 4.68 24227.88
Arkansas 65528 3747 5.72 21713.65
South Dakota 22952 3393 14.78 25944.46
Oregon 74620 3160 4.23 17691.95
New Hampshire 32298 3011 9.32 23753.58
Idaho 31806 2205 6.93 17748.24
Puerto Rico 2173 2173 100.00 680.40
North Dakota 43933 1464 3.33 57650.16
Maine 23500 1408 5.99 17482.36
West Virginia 60997 1323 2.17 34130.94
Vermont 19527 921 4.72 31293.82
Wyoming 12047 653 5.42 20815.23
Hawaii 36262 631 1.74 25611.07
Montana 21329 458 2.15 19956.44
Alaska 26449 378 1.43 36154.99

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 20228 1165 6.11 3800 18.79 15649 779 48 6.57 3.85
Gujarat 7797 394 5.32 2091 26.82 5234 472 23 5.12 6.05
Delhi 6542 224 3.55 2020 30.88 4454 68 0 0.00 1.04
Tamil Nadu 6535 526 8.75 1824 27.91 4667 44 4 10.00 0.67
Rajasthan 3741 105 2.89 2176 58.17 1458 107 4 3.88 2.86
Madhya Pradesh 3457 116 3.47 1480 42.81 1766 211 11 5.50 6.10
Uttar Pradesh 3373 159 4.95 1499 44.44 1800 74 8 12.12 2.19
Andhra Pradesh 1930 43 2.28 887 45.96 999 44 3 7.32 2.28
West Bengal 1786 108 6.44 372 20.83 1243 171 11 6.88 9.57
Punjab 1762 31 1.79 157 8.91 1574 31 2 6.90 1.76
Telangana 1163 31 2.74 751 64.57 382 30 1 3.45 2.58
Jammu and Kashmir 836 13 1.58 368 44.02 459 9 0 0.00 1.08
Karnataka 794 41 5.44 386 48.61 377 30 0 0.00 3.78
Haryana 675 28 4.33 290 42.96 376 9 1 12.50 1.33
Bihar 629 49 8.45 318 50.56 306 5 0 0.00 0.79
Kerala 506 2 0.40 485 95.85 17 4 0 0.00 0.79
Odisha 352 65 22.65 68 19.32 281 3 1 50.00 0.85
Chandigarh 169 23 15.75 24 14.20 143 2 0 0.00 1.18
Jharkhand 156 2 1.30 78 50.00 75 3 0 0.00 1.92
Tripura 135 17 14.41 2 1.48 133 0 0 NaN 0.00
Uttarakhand 67 4 6.35 46 68.66 20 1 0 0.00 1.49
Assam 62 2 3.33 35 56.45 26 1 -1 -50.00 1.61
Chhattisgarh 59 0 0.00 43 72.88 16 0 0 NaN 0.00
Himachal Pradesh 52 2 4.00 35 67.31 11 3 0 0.00 5.77
Ladakh 42 0 0.00 18 42.86 24 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 13 1 8.33 10 76.92 2 1 0 0.00 7.69
Puducherry 10 0 0.00 8 80.00 2 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 477765 81225 502 0.62 17.00 5535 330 30262 14924 18.37
Piemonte 205800 28549 181 0.64 13.87 2010 143 13934 3331 11.67
Emilia-Romagna 227366 26719 121 0.45 11.75 1604 155 7401 3827 14.32
Veneto 432114 18671 53 0.28 4.32 435 40 5877 1643 8.80
Toscana 174596 9745 24 0.25 5.58 364 79 4448 937 9.62
Liguria 64926 8738 15 0.17 13.46 501 42 2982 1276 14.60
Lazio 174448 7133 47 0.66 4.09 1277 82 4345 553 7.75
Marche 73965 6493 23 0.36 8.78 285 32 3230 958 14.75
Campania 110811 4576 14 0.31 4.13 415 26 1965 388 8.48
P.A. Trento 50278 4292 7 0.16 8.54 87 10 830 438 10.21
Puglia 76643 4286 30 0.70 5.59 344 33 2729 443 10.34
Sicilia 101548 3313 12 0.36 3.26 277 17 2080 256 7.73
Friuli Venezia Giulia 88384 3124 8 0.26 3.53 101 3 869 308 9.86
Abruzzo 47190 3086 8 0.26 6.54 246 10 1676 355 11.50
P.A. Bolzano 48858 2567 9 0.35 5.25 55 9 473 290 11.30
Umbria 45574 1407 1 0.07 3.09 45 6 111 71 5.05
Sardegna 33330 1334 4 0.30 4.00 87 11 550 119 8.92
Valle d’Aosta 9443 1152 1 0.09 12.20 45 3 118 139 12.07
Calabria 45071 1129 3 0.27 2.50 68 2 612 90 7.97
Basilicata 17433 382 0 0.00 2.19 45 1 145 27 7.07
Molise 8691 347 20 6.12 3.99 8 0 205 22 6.34

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 36997 836 2.31 2787 61 2.24 7.53 4333.38 326.44 1 in 231
Ontario 21148 322 1.55 1726 61 3.66 8.16 1437.48 117.32 1 in 696
Alberta 6157 59 0.97 116 1 0.87 1.88 1395.15 26.29 1 in 717
British Columbia 2330 15 0.65 129 2 1.57 5.54 455.89 25.24 1 in 2194
Nova Scotia 1011 3 0.30 47 1 2.17 4.65 1034.32 48.08 1 in 967
Saskatchewan 553 9 1.65 7 0 0.00 1.27 467.98 5.92 1 in 2137
Manitoba 284 0 0.00 7 0 0.00 2.46 206.17 5.08 1 in 4850
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68129 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1044 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 944 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 659 7 1.06
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 201 1 0.50
Shanxi 198 0 0.00
Tianjin 191 3 1.57
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 124 1 0.81
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4002.29 240.82 1 in 250
Spain 4791.64 567.47 1 in 209
Italy 3608.93 502.56 1 in 277
United Kingdom 3258.96 476.55 1 in 307
Russia 1374.92 12.64 1 in 727
France 2638.93 392.79 1 in 379
Germany 2069.38 91.18 1 in 483
Brazil 745.63 50.91 1 in 1341
Turkey 1696.76 46.27 1 in 589
Iran 1308.77 81.19 1 in 764
China 60.60 3.35 1 in 16502
Canada 1833.41 128.31 1 in 545
Peru 2020.98 56.39 1 in 495
India 46.91 1.57 1 in 21319
Belgium 4613.68 752.72 1 in 217
Netherlands 2478.52 316.71 1 in 403
Saudi Arabia 1127.38 7.26 1 in 887
Mexico 258.98 25.95 1 in 3861
Switzerland 3529.87 213.54 1 in 283
Ecuador 1749.16 103.31 1 in 572

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 183289 19818 10.81
Cook Illinois 51674 2264 4.38
Nassau New York 38028 1940 5.10
Suffolk New York 36461 1597 4.38
Los Angeles California 31241 1515 4.85
Westchester New York 31087 1203 3.87
Wayne Michigan 17960 2082 11.59
Philadelphia Pennsylvania 17881 891 4.98
Hudson New Jersey 17365 954 5.49
Middlesex Massachusetts 17307 1169 6.75
Bergen New Jersey 16804 1348 8.02
Essex New Jersey 15544 1414 9.10
Suffolk Massachusetts 15119 703 4.65
Passaic New Jersey 14428 734 5.09
Union New Jersey 13984 852 6.09
Miami-Dade Florida 13841 482 3.48
Middlesex New Jersey 13759 759 5.52
Fairfield Connecticut 13030 1017 7.81
Rockland New York 12400 562 4.53
Essex Massachusetts 11211 625 5.57
Orange New York 9486 367 3.87
Prince George’s Maryland 9205 349 3.79
New Haven Connecticut 9091 686 7.55
Harris Texas 7803 168 2.15
Oakland Michigan 7692 841 10.93
Worcester Massachusetts 7611 420 5.52
Ocean New Jersey 7366 522 7.09
Marion Indiana 7245 412 5.69
Providence Rhode Island 7138 0 0.00
Hartford Connecticut 7105 901 12.68
King Washington 6947 491 7.07
Norfolk Massachusetts 6887 635 9.22
Monmouth New Jersey 6815 439 6.44
Jefferson Louisiana 6679 396 5.93
Orleans Louisiana 6674 468 7.01
Montgomery Maryland 6555 369 5.63
Plymouth Massachusetts 6311 384 6.08
District of Columbia District of Columbia 6102 311 5.10
Macomb Michigan 6019 697 11.58
Morris New Jersey 5833 511 8.76
Broward Florida 5780 257 4.45
Maricopa Arizona 5779 245 4.24
Dallas Texas 5619 143 2.54
Fairfax Virginia 5610 230 4.10
Mercer New Jersey 5233 330 6.31
Lake Illinois 5199 173 3.33
Montgomery Pennsylvania 5116 523 10.22
Riverside California 4992 204 4.09
Bristol Massachusetts 4847 260 5.36
Delaware Pennsylvania 4836 394 8.15

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc